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Swarm of AI coding agents divide-and-conquer your project while sharing knowledge through an intelligent memory bank
This talk explores using multiple AI coding agents coordinated via claude-sparc and claude-flow to build Wakala, a WhatsApp assistant for Cape Town townships.
Imagine coordinating dozens of AI agents simultaneously, each working on different aspects of your project while sharing knowledge through an intelligent memory bank.
The initial version of Wakala-v2 was built autonomously using claude-sparc, a shell script that leverages Roo Code and Claude Code, but recent development was done using claude-flow, the ultimate multi-terminal orchestration platform that revolutionizes how you work with Claude Code. What is Wakala, you may ask?
In many African countries, WhatsApp is the internet for the vast majority of the population, and South Africa is no exception. This is the way most South Africans conduct business, book appointments, pay for services and merchandise, and look up information.
Wakala is a WhatsApp-native assistant designed to empower Cape Town township residents by providing easy-to-use, data-light tools for running daily businesses, accessing vital services, and learning new skills directly through WhatsApp.
Wakala’s mission is to lower the barriers to digital and economic participation for township residents in Cape Town. It offers accessible, affordable, and multilingual functionalities for financial transactions, business management, logistics, information access, and skill development.
Wakala is a WhatsApp-native super app for township commerce and community automation.
Wakala MVP: Multi-tenant microservices integrating WhatsApp Business API.
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